Selecting optimal power consumption patterns in the Republic of Altai local grid system based on renewable and alternative power sources

The authors develop a system of optimal planning of power consumption in the Republic of Altai local grid system based on a large proportion of renewable and alternative generating power sources. The studies were carried out using the linear programming method for power consumption patterns used by generating consumers. Power consumption charts by seasons and hourly retrospective rows of weather data by wind current velocity and solar insolation over 2021 were used as source data. Wind turbines, solar photovoltaic facilities, hydro-power plants, and energy accumulators were considered as local power consumption facilities to calculate electricity generation. The article provides calculation results for electricity generation in winter, since this is when a higher power deficiency is observed. It was shown that power consumers in the region under study can independently install additional generating power sources in the form of wind turbines, solar photovoltaic facilities, hydro-power plants, and energy accumulators due to electricity deficiency. Their combined generation mitigates the unpredictability of power generation by renewable sources. The authors propose a method that allows generating consumers to minimize their material and financial expenses and reduce the carbon footprint. The significance of the study consists in the substantiation of a hybrid power supply system with a high proportion of renewable and alternative power sources, which is implemented in the Republic of Altai and can be reproduced in other local energy systems with similar weather conditions.

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